Aishwarya Naresh Reganti
AI Founder & Advisor to F500s | Ex-AWS
Kiriti Badam
Applied AI Lead | Ex-Google, Samsung
Design and build impactful agentic AI systems to solve business problems.
We teach agents, multi-agent systems, context engg., evals, skills, MCP and all that jazz, but only as tools to solve business problems. If you're looking to learn a checklist of hype-topics without knowing when or how to use them, this isn't the course for you!
🚨🚨Notes:
We hold a 4.9 rating across 440 +reviews, making us the #1 rated course on Maven at this scale. So why are students raving about out course? Check out our wall of love!
Many of our students have No AI experience walking into the course. To estimate what you can achieve at the end of this course check out our student capstones here.
We follow a flipped-classroom format. All lectures are pre-recorded so folks can go at their own pace, but we’ll still meet 5 times a week for office hours and live sessions.
For questions or bulk requests, reach out to: problemfirst.ai@gmail.com
This course is an independent offering and is not affiliated with, endorsed by, or related to the instructors' current or past employers.
What you’ll learn
Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application
Identify where agentic AI can add value by reframing business challenges through a systems lens
Understand why traditional software assumptions fail in AI-driven environments
Evaluate tradeoffs between model choices, latency, performance and cost
Learn to frame AI problems through measurable outcomes rather than features or model choices
Understand how evaluation acts as the backbone of reliable agentic systems
Identify and quantify failure modes early using proxy metrics and iterative testing
Design smarter prompts using decomposition, meta-prompts, and algorithmic optimization
Compare reasoning and non-reasoning models for different business tasks
Implement evaluation and guardrail techniques using LLM judges and semantic scoring
Integrate retrieval, memory, and self-reflective behavior in agentic systems
Balance tradeoffs between accuracy, latency, and adaptability in agentic systems
Analyze multi-agent coordination patterns and challenges & learn about protocols like MCP/A2A
Work in small teams to design and implement an end-to-end agentic AI solution for a real business problem
Build an agentic search system across three iterations, integrating RAG, MCP, and multi-agent components
Present your final project to 2000+ attendees including enterprise leaders, investors, and hiring managers
Who this course is for
Software/AI Engineers, Strategists, Data Professionals, Solution Architects and Consultants who want to master AI system design
Business Leaders and Product Managers seeking to gain the technical understanding needed to make informed decisions & lead AI initiatives
Entrepreneurs looking to understand common generative AI use cases and learn how to develop and implement AI-powered solutions
Prerequisites
The only prerequisite
You should have coded at least once in your life. The course includes a no-code assignment track but some knowledge of code helps!
What's included
Live sessions
Learn directly from Aishwarya Naresh Reganti & Kiriti Badam in a real-time, interactive format.
Lifetime access to all future cohort material
Go back to course content and recordings whenever you need to. Any changes made to future cohorts will be available for you to access offline
Community of peers
Our alums are product and engineering leaders from some of the best companies: Amazon, Anthropic, Databricks, Google, Snowflake, Notion, Meta, Microsoft and 130+ other companies
Certificate of completion
Share your new skills with your employer or on LinkedIn.
30+ hours of live interaction time
Flipped content w/ office hour style sessions for two way interaction
2 Separate assignment tracks (Low-Code and Code)
You can choose to use a visual agent builder for or python based agentic framework
Access to curated no non-sense AI resources
We've curated a large collection of practitioner approved free resources for you to continue your learning journey
Option to be part of our invite only Chai & AI community post-course
About our community: https://levelup-labs.ai/community.html
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.
Course syllabus
23 live sessions • 83 lessons
Week 1
Apr
25
Welcome Lecture
Introduction, Setup & Our Favorite AI Tools
Week 1: Introduction to Generative AI, Agentic AI & Building Applications
[Build] Assignment 1 : Setup And Testing Your Environment
Apr
26
Chai & AI Session (Not Recorded)
Week 2
Apr
28
Content Office Hours 1a (US/EU/UK Friendly)
Apr
29
Homework Office Hours 1b (US/APAC Friendly)
Apr
30
Homework Office Hours 1a (US/EU/UK Friendly)
May
1
Content Office Hours 1b (US/APAC Friendly)
May
3
Chai & AI Session (Not Recorded)
Week 2: Prompt Engineering in 2025 & Building Workflow Agents For The Enterprise
[Build] Assignment 2: Build Your v0 Agentic Search System
Free resource
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Building Agentic AI Applications in 2025
What is Agentic AI, and how is it evolving in 2025?
Get up to speed on the latest updates—reasoning models, hybrid models, MCP, and more.
Using Agentic AI and Iterative Design in the Enterprise
Enterprise use cases need an iterative approach to autonomous agents. Learn design patterns and steps.
Best practices to follow and common pitfalls to avoid.
Learn how to build traceable, evaluable, and explainable agentic AI applications.
Schedule
Live sessions
5 hrs / week
Sat, Apr 25
4:00 PM—5:00 PM (UTC)
Sun, Apr 26
3:00 PM—4:00 PM (UTC)
Tue, Apr 28
3:00 PM—4:00 PM (UTC)
Projects
3 hrs / week
Async content
4 hrs / week
Testimonials
- I'm loving the course. I considered myself an AI business expert, yet I'm learning so much and filling gaps I didn’t even realize I had!
Nadia V Gill
Senior Vice President of Strategy (AI), Hitachi Digital - Hands, down this is an excellent course - both in terms of pacing, coverage of the materials and technical depth. Aish has an extraordinary ability to take complex concepts and deliver it elegantly without oversimplifying. I teach gen AI for marketers and I know how hard this is so i appreciate the work put into this!
Karla Congson
CEO, Agentiiv.com - you are doing a great job with the course! Balancing the right level of pacing and content can be challenging, but Aish & Kiriti areable find that line.
Rick Somra
Senior Software Engineer, Clear Aspect Solutions - I can see the amount of effort that you have put into putting this together. It is well constructed love the depth at which things are being discussed. You have the perfect balance between gleaming at a surface level and explaining things at a ML level which might be hard for people to follow.
Govind Manoharan
Technical Architect, SapientRazorfish - I’m learning a lot, and what stands out the most for me is Aish’s ability to curate extensive material into concise, well-structured slides, along with Kiriti’s demos that bring those concepts to life. Given the six-week duration, the content is crisp, easy to grasp, and aligns well with the course objectives.
Ravi Nukala
Senior Director of Engineering, BlackLine - The course structure is thoughtfully designed, with bite-sized weekly lessons that are engaging and easy to absorb. It takes an enterprise and industry-specific approach to qualifying agentic AI solutions for real-world problems. I especially appreciated the flexibility to dive deep into technical aspects while still covering the basics
Milli Comstock
Gen AI Digital Strategy Leader, Hitachi Energy
What makes our course the most holistic Applied AI program out there?
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LinkedIn Shoutouts From Past Cohort Members!
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Other praise on assignments/lectures
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Our alumni come from
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Frequently asked questions
❌This course is not for:
Those who have already deployed GenAI systems in production and want advanced scaling or optimization content
Individuals looking for deep theoretical or research-heavy discussions (e.g., transformer internals, pretraining, or alignment math)
Participants who have never written or worked with code before, even at a basic level
Learners expecting detailed coverage of LLMOps, infrastructure, or large-scale deployment practices
$3,000
USD